Electrical Load Forecasting Based on Fuzzy Wavelet Neural Networks

In view of the defects of the prediction model based on neural network, such as when doing prediction of nonlinear sequence, it is likely to fall into local hypo-strong point, and the rate of training is very slow, based on the traditional prediction model using neural network, a novel short-term electrical load prediction model based on fuzzy wavelet neural networks (FWN) is presented in this paper. The prediction effect of wavelet neural network prediction model is proved in Matlab7.0 simulation environment. A better prediction result is gained, and the defect of falling into local hypo-strongpoint is overcome, at the same time, the rate of training is raised compared with the prediction model based on neural network. The calculation result shows that the presented model is effective.